Bieber no more: First Story Detection using Twitter and Wikipedia
نویسندگان
چکیده
Twitter is a well known source of information regarding breaking news stories. This aspect of Twitter makes it ideal for identifying events as they happen. However, a key problem with Twitter-driven event detection approaches is that they produce many spurious events, i.e., events that are wrongly detected or simply are of no interest to anyone. In this paper, we examine whether Wikipedia (when viewed as a stream of page views) can be used to improve the quality of discovered events in Twitter. Our results suggest that Wikipedia is a powerful filtering mechanism, allowing for easy blocking of large numbers of spurious events. Our results also indicate that events within Wikipedia tend to lag behind Twitter.
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